DocumentCode :
3019248
Title :
Autonomic self-optimization according to business objectives
Author :
Aiber, Sarel ; Gilat, Dagan ; Landau, Ariel ; Razinkov, Natalia ; Sela, Aviad ; Wasserkrug, Segev
Author_Institution :
IBM Haifa Res. Lab, Israel
fYear :
2004
fDate :
17-18 May 2004
Firstpage :
206
Lastpage :
213
Abstract :
A central challenge in the runtime management of computing environments is the necessity to keep these environments continuously optimized. In this paper we introduce a new paradigm, which focuses on self-optimization according to high-level business objectives such as maximizing revenues. It replaces the more traditional optimizations that are based upon IT measures such as resource availability. A general, autonomous process is defined to enable such optimizations, and a set of technologies and methodologies is introduced to support the implementation of such a process. The paper concludes with two types of validation tests carried out on an eCommerce site, that demonstrate the value and applicability of this approach.
Keywords :
electronic commerce; optimisation; self-adjusting systems; autonomic self-optimization; business objectives; computing environments; e-commerce; resource availability; revenue maximization; runtime management; Availability; Current measurement; Delay; Electronic commerce; Environmental management; Hardware; Investments; Optimization methods; Runtime environment; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomic Computing, 2004. Proceedings. International Conference on
Print_ISBN :
0-7695-2114-2
Type :
conf
DOI :
10.1109/ICAC.2004.1301365
Filename :
1301365
Link To Document :
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